Objective. Many serious concerns exist in the long-term stability of brain–machine interfaces
(BMIs) based on spike signals (single unit activity, SUA; multi unit activity, MUA). Some …

This paper explores the parallel collaboration of multimodal physiological signals,
combining eye tracker output signals, motor imagery, and error-related potentials to control a …

脑机接口是生物脑与电脑或机器之间的一种直接连接通路. 脑机融合计算系统是一种基于脑机
接口技术, 综合利用生物智能和机器智能的新型智能融合系统, 其在医疗康复 …

Objective. Recent studies have shown that dorsal premotor cortex (PMd), a cortical area in
the dorsomedial grasp pathway, is involved in grasp movements. However, the neural …

Objective. The high-dimensional neural recordings bring computational challenges to
movement decoding in motor brain machine interfaces (mBMI), especially for portable …

在人机交互系统中, 如何使计算机更好地理解人类意图? 随着智能科技的发展,
这个问题越来越受到人们的关注. 脑机接口技术与脑科学密切结合, 在人机交互领域具有独特的 …

Sequential Monte Carlo estimation on point processes has been successfully applied to
predict the movement from neural activity. However, there exist some issues along with this …

Brain machine interfaces (BMIs) have demonstrated lots of successful arm-related reach
decoding in past decades, which provide a new hope for restoring the lost motor functions …

It has been suggested that the brain adopts a simplified strategy to coordinate a large
number of degrees of freedom in motor control. Synergies have been proposed as a strategy …

Brain–computer interfaces (BCIs) have garnered extensive interest and become a
groundbreaking technology to restore movement, tactile sense, and communication in …